{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "beaafe93-f32e-40b0-9142-f186e02f4c11",
   "metadata": {},
   "source": [
    "### 生成数据集"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "b2642f11-fbf1-4315-b1ac-e054806052c1",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "from matplotlib import pyplot as plt\n",
    "from sklearn.datasets import make_blobs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "41995d17-fd2f-446b-b912-597af1c05ee7",
   "metadata": {},
   "outputs": [],
   "source": [
    "x,y=make_blobs(\n",
    "    # 样本数据总数\n",
    "    n_samples = 300,\n",
    "    # 数据维度\n",
    "    n_features = 2,\n",
    "    # 数据种类\n",
    "    centers = 3,\n",
    "    # 标准差\n",
    "    cluster_std=1,\n",
    "    # 取值范围\n",
    "    center_box= (-10,10),\n",
    "    # 随机数种子\n",
    "    random_state=233,\n",
    "    # 增加一个类别中心点坐标的返回值\n",
    "    return_centers =False\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "b50baf6e-b157-4233-8347-f1e22d0abf5e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.scatter(x[:,0],x[:,1],c=y,s=15)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ac0abe77-60e1-4fb9-a081-a7478d07f881",
   "metadata": {},
   "source": [
    "### 划分数据集"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "3c6cabcf-3681-410e-a95a-c6362c2c364d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([ 0,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14, 15, 16,\n",
       "       17, 18, 19])"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "index = np.arange(20)\n",
    "index"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "a7107086-2be1-4801-b430-b9558ea89b38",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([ 0,  8, 19, 17, 15, 13,  1, 11,  6, 10,  3, 12,  5, 14, 18, 16,  2,\n",
       "        7,  4,  9])"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#　打乱数组元素顺序\n",
    "np.random.shuffle(index)\n",
    "index"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "9af2d197-0f0d-4eda-888f-658c017cfbb2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([ 1, 17, 15, 10,  5, 12, 13, 19,  7,  6,  0, 18,  3,  4, 14,  9,  8,\n",
       "        2, 11, 16])"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 生成乱序0~19数组\n",
    "np.random.permutation(20)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "7d798805-9f33-463f-8be9-0e8fbaf49014",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([ 23,  86, 204, 287, 206, 170, 234,  94, 146, 180, 263,  22,   3,\n",
       "       264, 194, 290, 229, 177, 208, 202,  10, 188, 262, 120, 148, 121,\n",
       "        98, 160, 267, 136, 294,   2,  34, 142, 271, 133, 127,  12,  29,\n",
       "        49, 112, 218,  36,  57,  45,  11,  25, 151, 212, 289, 157,  19,\n",
       "       275, 176, 144,  82, 161,  77,  51, 152, 135,  16,  65, 189, 298,\n",
       "       279,  37, 187,  44, 210, 178, 165,   6, 162,  66,  32, 198,  43,\n",
       "       108, 211,  67, 119, 284,  90,  89,  56, 217, 158, 228, 248, 191,\n",
       "        47, 296, 123, 181, 200,  40,  87, 232,  97, 113, 122, 220, 153,\n",
       "       173,  68,  99,  61, 273, 269, 281, 209,   4, 110, 259,  95, 205,\n",
       "       288,   8, 283, 231, 291, 171, 111, 242, 216, 285,  54, 100,  38,\n",
       "       185, 235, 174, 201, 107, 223, 222, 196, 268, 114, 147, 166,  85,\n",
       "        39,  58, 256, 258,  74, 251,  15, 150, 137,  70,  91,  52,  14,\n",
       "       169,  21, 184, 207, 238, 128, 219, 125, 293, 134,  27, 265,  96,\n",
       "       270,  18, 109, 126, 203,  88, 249,  92, 213,  60, 227,   5,  59,\n",
       "         9, 138, 236, 280, 124, 199, 225, 149, 145, 246, 192, 102,  48,\n",
       "        73,  20,  31,  63, 237,  78,  62, 233, 118, 277,  28,  50,  64,\n",
       "       117, 197, 140,   7, 105, 252,  71, 190,  76, 103,  93, 183,  72,\n",
       "         0, 278,  79, 172, 214, 182, 292, 139, 260,  30, 195,  13, 244,\n",
       "       240, 297, 257, 245, 143, 186, 243, 266, 286, 168, 179,  81, 215,\n",
       "       129, 167, 106, 261,  42, 276,  69, 224, 253, 247, 155, 154,  17,\n",
       "       132,  24, 141, 239,  80, 101,  75, 159, 116,  46, 272, 226,  83,\n",
       "       156,  33, 115, 282, 299,  55, 250, 221, 254, 255,  41, 130, 104,\n",
       "        26,  53,  84, 274,   1, 163, 230,  35, 241, 164, 193, 175, 131,\n",
       "       295])"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.random.seed(233)\n",
    "shuffle = np.random.permutation(len(x))\n",
    "shuffle"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "d07b26c2-b505-46d6-a89f-0ffbc79045c7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(300,)"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "shuffle.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "2c8c18c3-52a5-4d5f-a97f-54bfe48d19ce",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 训练数据占比\n",
    "train_size=0.7"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "4430cdff-82de-4e95-9495-abc3073d9b8e",
   "metadata": {},
   "outputs": [],
   "source": [
    "train_index = shuffle[:int(len(x)*train_size)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "7c2c95eb-d974-471f-9067-b9e5f635d509",
   "metadata": {},
   "outputs": [],
   "source": [
    "test_index = shuffle[int(len(x)*train_size):]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "8edddd67-9b52-49a3-84fd-3d89bb8fb86c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "((210,), (90,))"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 输出　训练集　和　测试集　数据形状\n",
    "train_index.shape,test_index.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "4ed11f99-8cac-4946-859f-ddfe94e88f2f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "((210, 2), (210,))"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "x[train_index].shape,y[train_index].shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "bcd2c9d5-63cf-4e9c-833c-63682daa01ab",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "((90, 2), (90,))"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "x[test_index].shape,y[test_index].shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "68362154-3e3a-463a-9a13-51c85ea512d6",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 封装定义　训练集　和　测试集数据分割\n",
    "def my_train_test_split(x,y,train_size=0.7,random_state=None):\n",
    "    if random_state:\n",
    "        np.random.seed(random_state)\n",
    "    shuffle = np.random.permutation(len(x))\n",
    "    train_index=shuffle[:int(len(x)*train_size)]\n",
    "    test_index=shuffle[int(len(x)*train_size):]\n",
    "    return x[train_index],x[test_index],y[train_index],y[test_index]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "bf4cb1eb-1bbe-48ea-8c19-5d081abc62c6",
   "metadata": {},
   "outputs": [],
   "source": [
    "x_train,x_test,y_train,y_test=my_train_test_split(x,y,train_size,random_state=233)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "88eca6c0-89e4-4dc6-9723-dada42e5189a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "((210, 2), (90, 2), (210,), (90,))"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "x_train.shape,x_test.shape,y_train.shape,y_test.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "bfce0ebb-45dd-4b1d-9f43-beccbeac749f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.scatter(x_train[:,0],x_train[:,1],c = y_train,s=15)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "id": "8308b66a-dbd2-4e68-aa5d-01d61be6d464",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.scatter(x_test[:,0],x_test[:,1],c=y_test,s=15)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8b2a2160-5ffa-4bab-9eb5-47a922d235b2",
   "metadata": {},
   "source": [
    "### sklearn划分数据集"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "id": "384cca34-5c8d-40c2-bde1-5e1707bdeb0e",
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.model_selection import train_test_split"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "id": "337219fe-9444-4f82-9741-f464ddc11299",
   "metadata": {},
   "outputs": [],
   "source": [
    "x_train,x_test,y_train,y_test = train_test_split(x,y,train_size=0.7,random_state= 233)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "id": "3d0f6e8d-d48d-4713-b4de-6bb0dfaad983",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "((210, 2), (90, 2), (210,), (90,))"
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "x_train.shape,x_test.shape,y_train.shape,y_test.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "id": "a9f84625-380a-45a3-bedc-18b505ada598",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Counter({np.int64(2): 34, np.int64(1): 31, np.int64(0): 25})"
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from collections import Counter\n",
    "Counter(y_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "id": "31f65119-8c3e-4313-b802-824f434610fb",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 样本类别数据平均分布\n",
    "x_train,x_test,y_train,y_test = train_test_split(x,y,train_size=0.7,random_state=233 ,stratify=y)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "id": "cadc23dc-1e5b-4075-bb52-c111692f3553",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Counter({np.int64(2): 30, np.int64(0): 30, np.int64(1): 30})"
      ]
     },
     "execution_count": 52,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Counter(y_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "id": "9e66cfea-e460-42a0-abdf-73c0e085a243",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "np.int64(1)"
      ]
     },
     "execution_count": 54,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "y[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "id": "e6b3dd97-1667-4e06-9049-54b9a6073c46",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([2.71138601, 9.51048379])"
      ]
     },
     "execution_count": 55,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "x[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "24b4d56f-6993-494a-9f63-7982d285d772",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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